Multi-task learning based on question–answering style reviews for aspect category classification and aspect term extraction on GPU clusters
نویسندگان
چکیده
منابع مشابه
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
Online reviews are valuable resources not only for consumers to make decisions before purchase, but also for providers to get feedbacks for their services or commodities. In Aspect Based Sentiment Analysis (ABSA), it is critical to identify aspect categories and extract aspect terms from the sentences of user-generated reviews. However, the two tasks are often treated independently, even though...
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Nowadays, when an individual wants to buy any product or a company wants to take the pulse of public opinion about its product, user reviews of this product have become a valuable source of information. As a consequence of that, aspect based sentiment analysis has become popular research field which has also attracted the attention of researchers. In this study, we devised a method which extrac...
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Aspect extraction is a task to abstract the common properties of objects from corpora discussing them, such as reviews of products. Recent work on aspect extraction is leveraging the hierarchical relationship between products and their categories. However, such effort focuses on the aspects of child categories but ignores those from parent categories. Hence, we propose an LDA-based generative t...
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User-generated reviews are valuable resources for decision making. Identifying the aspect categories discussed in a given review sentence (e.g., “food” and “service” in restaurant reviews) is an important task of sentiment analysis and opinion mining. Given a predefined aspect category set, most previous researches leverage handcrafted features and a classification algorithm to accomplish the t...
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Text is the main method of communicating information in the digital age. Messages, blogs, news articles, reviews, and opinionated information abounds on the Internet. People commonly purchase products online and post their opinions about purchased items. This feedback is displayed publicly to assist others with their purchasing decisions, creating the need for a mechanism with which to extract ...
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ژورنال
عنوان ژورنال: Cluster Computing
سال: 2020
ISSN: 1386-7857,1573-7543
DOI: 10.1007/s10586-020-03160-9